--%>

Probability problem

A) What is the probability of getting the following sequence with a fair die (as in dice):

B) What is the probability of getting the same sequence with a die that is biased in the following way:

p(1)=p(2)=p(3)=p(4)=15%; p(5)=20%; p(6)=20%

C) For the sequence TTGSSGCG,where S=G or C,calculate the probability of occurrence given

p(G)=p(C)=30% and p(A)=p(T)=20%.

D) In a 1 megabase (1 million bases) stretch of DNA,how often do you expect to observe this TTGSSGCG randomly? (use frequencies as listed above) Just look at one strand of DNA.

   Related Questions in Advanced Statistics

  • Q : Frequency Distributions Define the term

    Define the term Frequency Distributions?

  • Q : Correlation Define the term Correlation

    Define the term Correlation and describe Correlation formula in brief.

  • Q : Grouped Frequency Distributions Grouped

    Grouped Frequency Distributions: Guidelines for classes: A) There must be between 5 to 20 classes. B) The class width must be an odd number. This will assure that the class mid-points are integers rather than decimals. C) The classes should be mutually exclusive. This signifies that no data valu

  • Q : Analyse the statistics of the data

    Assigment Question Select any two manufacturing companies and formulate the cost and revenue functions of the companies. analyse the statistics of the data and then sketch the functions and determine their breakeven points. (Note: You are required to interview the production and sales manag

  • Q : Problem on Chebyshevs theorem 1. Prove

    1. Prove that the law of iterated expectations for continuous random variables.2. Prove that the bounds in Chebyshev's theorem cannot be improved upon. I.e., provide a distribution which satisfies the bounds exactly for k ≥1, show that it satisfies the

  • Q : Analytical Report Hi I WOULD LIKE TO

    Hi I WOULD LIKE TO KNOW IF YOU CAN HELP ME TO DO THE ASSIGNMENT IN HEALTH STATISTICS THANKS

  • Q : Use the law of iterated expectation to

    Suppose we have a stick of length L. We break it once at some point X _

    Q : Problem on Poisson distribution The

    The number of trucks coming to a certain warehouse each day follows the Poisson distribution with λ= 8. The warehouse can handle a maximum of 12 trucks a day. What is the probability that on a given day one or more trucks have to be sent away? Round the answer

  • Q : Pearsons correlation coefficient The

    The table below illustrates the relationship between two variable X and Y. A

  • Q : Probability Distributions and Data

    1. A popular resort hotel has 300 rooms and is usually fully booked. About 4% of the time a reservation is canceled before 6:00 p.m. deadline with no penalty. What is the probability that at least 280 rooms will be occupied? Use binomial distribution to find the exact value and the normal approxi